Torsten Möller is a professor of computer science at the University of Vienna, Austria where he heads the research platform Data Science @ Uni Vienna as well as the research group on Visualization and Data Analysis. Since 2018, he serves as the editor-in-chief for IEEE Computer Graphics and Applications.
Shixia Liu is an associate professor at Tsinghua University. Her research interests include visual text analytics, visual model analytics, visual behavior analytics, and text mining. Shixia is an associate editor of IEEE Transactions on Visualization and Computer Graphics and was the papers co-chair of IEEE VAST 2016 and 2017.
Adam is a Research Scientist at IBM’s T.J. Watson Research Center, as well as an Adjunct Professor at Carnegie Mellon University. His research blends data visualization and data mining techniques to create visual interactive systems to help users make sense out of big data. Lately, his research focuses on extracting insights from clinical data to support data-driven medicine.
Gordon Kindlmann is an associate professor in the department of Computer Science, University of Chicago. He researches image analysis and data visualization to improve the computation of imaging-based science.
Thomas Schultz is a professor for Life Science Informatics and Visualization at the B-IT and the Department of Computer Science, University of Bonn. His main research interests are related to the processing, mathematical modeling, analysis, and visualization of biomedical images, and he is heading the Visualization and Medical Image Analysis Group.
Liang is a Sr. Researcher of Data Analytics at Visa Research. His research interests lie in the fields of visual analytics, deep learning and human-computer interaction. Prior to joining Visa Research, Liang was a Research Staff Member at IBM Almaden Research Center.
Daniel Keim is a full professor and head of the Information Visualization and Data Analysis Research Group at the University of Konstanz, Germany. He has been actively involved in information visualization and data analysis research for about 20 years and developed a number of novel visual analysis techniques for very large data sets with applications to a wide range of application areas including financial analysis, network analysis, geo-spatial analysis, as well as text and multimedia analysis.
Hanspeter Pfister is the An Wang Professor of Computer Science at the Harvard John A. Paulson School of Engineering and Applied Sciences, director of the Institute for Applied Computational Science, and an affiliate faculty member of the Center for Brain Science. His research in visual computing lies at the intersection of visualization, computer graphics, and computer vision and spans a wide range of topics, including biomedical visualization, image and video analysis, 3D fabrication, and visual analytics in data science.
Marc is a tenured Full Professor at the Institute of Computer Graphics at Johannes Kepler University Linz where he leads the Visual Data Science group. His scientific areas of interest include visualization, visual analytics, and biological data visualization, where he is particularly interested in the integrated analysis of large heterogeneous data.
Alex is an assistant professor of computer science at the Scientific Computing and Imaging Institute and the School of Computing at the University of Utah. He develops interactive data analysis methods for experts and scientists. His primary research interests are interactive data visualization and analysis especially applied to molecular biology and graph visualization.